17,705 research outputs found

    On stepdown control of the false discovery proportion

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    Consider the problem of testing multiple null hypotheses. A classical approach to dealing with the multiplicity problem is to restrict attention to procedures that control the familywise error rate (FWERFWER), the probability of even one false rejection. However, if ss is large, control of the FWERFWER is so stringent that the ability of a procedure which controls the FWERFWER to detect false null hypotheses is limited. Consequently, it is desirable to consider other measures of error control. We will consider methods based on control of the false discovery proportion (FDPFDP) defined by the number of false rejections divided by the total number of rejections (defined to be 0 if there are no rejections). The false discovery rate proposed by Benjamini and Hochberg (1995) controls E(FDP)E(FDP). Here, we construct methods such that, for any γ\gamma and α\alpha, P{FDP>γ}αP\{FDP>\gamma \}\le \alpha. Based on pp-values of individual tests, we consider stepdown procedures that control the FDPFDP, without imposing dependence assumptions on the joint distribution of the pp-values. A greatly improved version of a method given in Lehmann and Romano \citer10 is derived and generalized to provide a means by which any sequence of nondecreasing constants can be rescaled to ensure control of the FDPFDP. We also provide a stepdown procedure that controls the FDRFDR under a dependence assumption.Comment: Published at http://dx.doi.org/10.1214/074921706000000383 in the IMS Lecture Notes--Monograph Series (http://www.imstat.org/publications/lecnotes.htm) by the Institute of Mathematical Statistics (http://www.imstat.org

    Stepup procedures for control of generalizations of the familywise error rate

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    Consider the multiple testing problem of testing null hypotheses H1,...,HsH_1,...,H_s. A classical approach to dealing with the multiplicity problem is to restrict attention to procedures that control the familywise error rate (FWER\mathit{FWER}), the probability of even one false rejection. But if ss is large, control of the FWER\mathit{FWER} is so stringent that the ability of a procedure that controls the FWER\mathit{FWER} to detect false null hypotheses is limited. It is therefore desirable to consider other measures of error control. This article considers two generalizations of the FWER\mathit{FWER}. The first is the kFWERk-\mathit{FWER}, in which one is willing to tolerate kk or more false rejections for some fixed k1k\geq 1. The second is based on the false discovery proportion (FDP\mathit{FDP}), defined to be the number of false rejections divided by the total number of rejections (and defined to be 0 if there are no rejections). Benjamini and Hochberg [J. Roy. Statist. Soc. Ser. B 57 (1995) 289--300] proposed control of the false discovery rate (FDR\mathit{FDR}), by which they meant that, for fixed α\alpha, E(FDP)αE(\mathit{FDP})\leq\alpha. Here, we consider control of the FDP\mathit{FDP} in the sense that, for fixed γ\gamma and α\alpha, P{FDP>γ}αP\{\mathit{FDP}>\gamma\}\leq \alpha. Beginning with any nondecreasing sequence of constants and pp-values for the individual tests, we derive stepup procedures that control each of these two measures of error control without imposing any assumptions on the dependence structure of the pp-values. We use our results to point out a few interesting connections with some closely related stepdown procedures. We then compare and contrast two FDP\mathit{FDP}-controlling procedures obtained using our results with the stepup procedure for control of the FDR\mathit{FDR} of Benjamini and Yekutieli [Ann. Statist. 29 (2001) 1165--1188].Comment: Published at http://dx.doi.org/10.1214/009053606000000461 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

    On the uniform asymptotic validity of subsampling and the bootstrap

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    This paper provides conditions under which subsampling and the bootstrap can be used to construct estimators of the quantiles of the distribution of a root that behave well uniformly over a large class of distributions P\mathbf{P}. These results are then applied (i) to construct confidence regions that behave well uniformly over P\mathbf{P} in the sense that the coverage probability tends to at least the nominal level uniformly over P\mathbf{P} and (ii) to construct tests that behave well uniformly over P\mathbf{P} in the sense that the size tends to no greater than the nominal level uniformly over P\mathbf{P}. Without these stronger notions of convergence, the asymptotic approximations to the coverage probability or size may be poor, even in very large samples. Specific applications include the multivariate mean, testing moment inequalities, multiple testing, the empirical process and U-statistics.Comment: Published in at http://dx.doi.org/10.1214/12-AOS1051 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

    Satellite observations of reconnection between emerging and pre-existing small-scale magnetic fields

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    We report multi-wavelength ultraviolet observations taken with the IRIS satellite, concerning the emergence phase in the upper chromosphere and transition region of an emerging flux region (EFR) embedded in the unipolar plage of active region NOAA 12529. The photospheric configuration of the EFR is analyzed in detail benefitting from measurements taken with the spectropolarimeter aboard the Hinode satellite, when the EFR was fully developed. In addition, these data are complemented by full-disk, simultaneous observations of the SDO satellite, relevant to the photosphere and the corona. In the photosphere, magnetic flux emergence signatures are recognized in the fuzzy granulation, with dark alignments between the emerging polarities, cospatial with highly inclined fields. In the upper atmospheric layers, we identify recurrent brightenings that resemble UV bursts, with counterparts in all coronal passbands. These occur at the edges of the EFR and in the region of the arch filament system (AFS) cospatial to the EFR. Jet activity is also found at chromospheric and coronal levels, near the AFS and the observed brightness enhancement sites. The analysis of the IRIS line profiles reveals the heating of dense plasma in the low solar atmosphere and the driving of bi-directional high-velocity flows with speeds up to 100 km/s at the same locations. Furthermore, we detect a correlation between the Doppler velocity and line width of the Si IV 1394 and 1402 \AA{} line profiles in the UV burst pixels and their skewness. Comparing these findings with previous observations and numerical models, we suggest evidence of several long-lasting, small-scale magnetic reconnection episodes between the emerging bipole and the ambient field. This process leads to the cancellation of a pre-existing photospheric flux concentration of the plage with the opposite polarity flux patch of the EFR. [...]Comment: 4 pages, 2 figures, to be published in "Nuovo Cimento C" as proceeding of the Third Meeting of the Italian Solar and Heliospheric Communit

    2D-3D registration of CT vertebra volume to fluoroscopy projection: A calibration model assessment (doi:10.1155/2010/806094)

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    This study extends a previous research concerning intervertebral motion registration by means of 2D dynamic fluoroscopy to obtain a more comprehensive 3D description of vertebral kinematics. The problem of estimating the 3D rigid pose of a CT volume of a vertebra from its 2D X-ray fluoroscopy projection is addressed. 2D-3D registration is obtained maximising a measure of similarity between Digitally Reconstructed Radiographs (obtained from the CT volume) and real fluoroscopic projection. X-ray energy correction was performed. To assess the method a calibration model was realised a sheep dry vertebra was rigidly fixed to a frame of reference including metallic markers. Accurate measurement of 3D orientation was obtained via single-camera calibration of the markers and held as true 3D vertebra position; then, vertebra 3D pose was estimated and results compared. Error analysis revealed accuracy of the order of 0.1 degree for the rotation angles of about 1?mm for displacements parallel to the fluoroscopic plane, and of order of 10?mm for the orthogonal displacement.<br/
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